Experienced Full Stack Data Entry Specialist – Cloud-Based Data Pipeline Development and Management
At arenaflex, we're on a mission to revolutionize the retail industry through cutting-edge technology and innovative solutions. As a key member of our team, you'll have the opportunity to work on high-impact projects that drive business growth and improve customer experiences. We're seeking an experienced Full Stack Data Entry Specialist to join our team of talented professionals who are passionate about data-driven decision making and cloud-based data pipeline development.
About arenaflex
arenaflex is a global retail leader that's committed to using technology to make life easier for millions of people around the world. Our team of programmers, data scientists, network security experts, and operations professionals are at the forefront of the next retail revolution. We're a human-driven organization that's tech-engaged, and we're passionate about developing our team members in the skills they need to succeed in the future.
Job Summary
As a Full Stack Data Entry Specialist at arenaflex, you'll be responsible for designing, developing, and maintaining cloud-based data pipelines that support our e-commerce platform and various business units. You'll work closely with cross-functional teams, including scrum groups, QA, product, program management, and partner operations, to ensure data quality, accessibility, and reliability. This is a full-time position that offers the flexibility to work remotely, with both night and day shifts available.
Key Responsibilities
* Design and develop robust, scalable data pipelines for ingesting, processing, and storing large volumes of data to support marketing efforts on arenaflex.com and its subsidiaries.
- Work on cloud platforms like Azure and Google Cloud for data storage, processing, and analysis.
- Develop and deploy large-scale, containerized applications using Docker and Kubernetes on public clouds like Google GCP and Microsoft Azure.
- Collaborate with other scrum teams, QA, product, program management, and partner operations to ensure data quality, accessibility, and reliability.
- Participate in 24/7 on-call rotations to investigate production issues across cross-functional teams.
- Develop and maintain strong relationships with stakeholders to understand business requirements and provide data-driven insights to inform business decisions.
What You'll Bring
* Demonstrated expertise in data design principles, data set planning, ETL cycles, and data mining.
- Proficiency in working with data technologies, including SQL, Python, Flash, Scala, Hadoop, and related tools and frameworks.
- Experience with ETL tools like Apache NiFi.
- Strong skills working with relational databases (e.g., Azure SQL) and NoSQL databases (e.g., Cassandra).
- Experience with real-time data processing using Apache Kafka.
- Experience in designing and implementing data models for efficient capacity and recovery.
- A growth-oriented mindset and a willingness to raise the technical bar, as well as identify potential opportunities for improving existing processes, tools, and frameworks to achieve high scale and efficiency.
- Experience working with Docker and Kubernetes, as well as distributed computing services like Google GCP and Microsoft Azure, and distributed storage frameworks like Hive and Hadoop.
Essential Qualifications
* Bachelor's degree in Computer Science, Information Technology, or related field.
- 3+ years of experience in data engineering, data science, or related field.
- Strong understanding of cloud-based data pipeline development and management.
- Experience with containerization and orchestration using Docker and Kubernetes.
- Strong skills in data modeling, data warehousing, and data governance.
- Excellent communication and collaboration skills, with the ability to present to both technical and non-technical audiences.
Preferred Qualifications
* Master's degree in Computer Science, Information Technology, or related field.
- 5+ years of experience in data engineering, data science, or related field.
- Experience with big data technologies like Hadoop, Spark, and NoSQL databases.
- Strong skills in data visualization, data analytics, and machine learning.
- Experience with DevOps practices and tools like Jenkins, GitLab, and Ansible.
Career Growth Opportunities and Learning Benefits
At arenaflex, we're committed to developing our team members in the skills they need to succeed in the future. We offer a range of career growth opportunities, including:
- Professional development programs to help you advance your career.
- Access to cutting-edge technologies and tools.
- Opportunities to work on high-impact projects that drive business growth and improve customer experiences.
- Collaborative and dynamic work environment that encourages innovation and creativity.
- Recognition and rewards for outstanding performance and contributions.
Work Environment and Company Culture
arenaflex is a human-driven organization that's tech-engaged. We're passionate about developing our team members in the skills they need to succeed in the future. Our company culture is built on the following values:
- Collaboration and teamwork.
- Innovation and creativity.
- Customer focus and satisfaction.
- Continuous learning and development.
- Diversity, equity, and inclusion.
Compensation, Perks, and Benefits
arenaflex offers a competitive compensation package, including:
- Salary range: $80,000 - $120,000 per year.
- Bonus structure: up to 20% of annual salary.
- Benefits: comprehensive health insurance, 401(k) matching, and paid time off.
- Perks: flexible work arrangements, professional development opportunities, and access to cutting-edge technologies and tools.
How to Apply
If you're a motivated and experienced data engineer or data scientist who's passionate about cloud-based data pipeline development and management, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you! Apply for this job